os.clean |
Clean data by eliminating predictors with many missing values |
os.opt |
Estimate the optimal number of predictors to construct OmicSense prediction model |
os.pca |
Visualize predictors using principal coordinate analysis |
os.pred |
Construct and apply the OmicSense model with your own data |
os.rank |
Visualize R-squared value distribution in target-predictor relationship |
os.sort |
Sort and select predictors according to the strength of target-predictor relationship |
Pinus |
Transcriptomes of Pinus roots under a Temperature Gradient |